ARAS400k: A Large-Scale Remote Sensing Dataset Augmented with Synthetic Data for Segmentation and Captioning
ARAS400k We introduce the fully open-sourced ARAS400k, a comprehensive remote sensing dataset consisting of 100,240 real images and 300,000 synthetic images. Each image is 256x256 and paired with semantic segmentation maps and 5 descriptive captions. ARAS400k contains 400,240 images and
ARAS400k
We introduce the fully open-sourced ARAS400k, a comprehensive remote sensing dataset consisting of 100,240 real images and 300,000 synthetic images. Each image is 256×256 and paired with semantic segmentation maps and 5 descriptive captions. ARAS400k contains 400,240 images and 2,001,200 descriptive captions.
| Subset | True Color Images | Segmentation Maps | Captions |
| Train | 80,192 | 80,192 | 400,960 |
| Validation | 10,024 | 10,024 | 50,120 |
| Test | 10,024 | 10,024 | 50,120 |
| Real Total | 100,240 | 100,240 | 501,200 |
| Synthetic | 300,000 | 300,000 | 1,500,000 |
| ARAS400k Total | 400,240 | 400,240 | 2,001,200 |
ARAS400k folder contents
- Subset (train,val,test,synth)
- images
- 0000.png
- 0001.png
- …
- masks
- 0000.png
- 0001.png
- …
- captions.csv
- images
An example from synth folder, captions.csv containing filename (unique) split (train-val-test-synth), class percentages (Tree, Shrub, Grass, Crop, Built-up, Barren, Water) and captions for each method: hybrid_gemma3-4b, hybrid_qwen3-vl-8b, text_qwen3-4b, vision_gemma3-4b, vision_qwen3-vl-8b
| filename | split | Tree, Shrub, Grass, Crop, Built-up, Barren, Water | hybrid_gemma3-4b | hybrid_qwen3-vl-8b | text_qwen3-4b | vision_gemma3-4b | vision_qwen3-vl-8b |
| 0000.png | synth | 0,0,18,82,0,0,0 | The image depicts a landscape dominated by cultivated crops (82%), interspersed with smaller areas of grass (18%). The scene exhibits a patterned arrangement of fields, suggesting agricultural land use with some topographic variation. | The scene is dominated by crop fields, covering 82% of the area in a patchwork of geometrically shaped agricultural plots, with gr📤 Share this pageFound this useful? Share it with your network. Files are hosted on the source repository. Click download to access the full dataset. Çağlar, Ümit Mert (2026). ARAS400k: A Large-Scale Remote Sensing Dataset Augmented with Synthetic Data for Segmentation and Captioning. https://doi.org/10.5281/zenodo.18890661
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